The discussion highlights the intricate relationship between algorithms and the complex social systems they operate within. When an algorithm underperforms, there are two main approaches: directly modifying the model or implementing post hoc corrections to address inequities. A notable example is the attempt to use algorithms in the child welfare system, which underscores the potential pitfalls and challenges of relying on data-driven solutions in sensitive areas.
